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| author | jules@lens <julescarbon@gmail.com> | 2019-03-10 00:41:06 +0100 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-03-10 00:41:06 +0100 |
| commit | 3e0c2d9ca5e07593bc2610dae9ebb907143cda4d (patch) | |
| tree | 195327515bfa39b13afb8f930cc58534c747e288 /site/datasets/final/caltech_10k_web_faces.json | |
| parent | bcf9406897f6d20e19620530486cb055c1e6623b (diff) | |
updating
Diffstat (limited to 'site/datasets/final/caltech_10k_web_faces.json')
| -rw-r--r-- | site/datasets/final/caltech_10k_web_faces.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/caltech_10k_web_faces.json b/site/datasets/final/caltech_10k_web_faces.json index 5f6f6cc9..bbad08bb 100644 --- a/site/datasets/final/caltech_10k_web_faces.json +++ b/site/datasets/final/caltech_10k_web_faces.json @@ -1 +1 @@ -{"id": "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "dataset": {"key": "caltech_10k_web_faces", "name_short": "Caltech 10K Web Faces", "name_display": "Caltech 10K Web Faces Dataset", "name_full": "Caltech 10K Web Faces", "purpose": "facial landmarks for face detection algorithms", "url": "http://www.vision.caltech.edu/Image_Datasets/Caltech_10K_WebFaces/", "downloaded": "Y", "mp_pub": "Y", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "Y", "bing": "", "parent": "", "child": "", "source": "google", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2003", "ongoing": "", "images": "7,092 ", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_persons": "10,524 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "fd", "size_gb": "0.145", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "The dataset contains images of people collected from the web by typing common given names into Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled. ", "adam": "", "berit": "Y", "charlie": "", "notes": ""}, "paper": {"paper_id": "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "key": "caltech_10k_web_faces", "title": "Pruning training sets for learning of object categories", "year": "2005", "pdf": [], "address": "", "name": "Caltech 10K Web Faces", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1467308"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "40928537845bd14f731b753bef8cdab59661c090", "title": "AverageExplorer: interactive exploration and alignment of visual data collections", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": []}, {"id": 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